Johannes Reiche
Johannes Reiche
Wageningen University (Associate Professor)
Geverifieerd e-mailadres voor wur.nl - Homepage
Geciteerd door
Geciteerd door
A review of the application of optical and radar remote sensing data fusion to land use mapping and monitoring
N Joshi, M Baumann, A Ehammer, R Fensholt, K Grogan, P Hostert, ...
Improving near-real time deforestation monitoring in tropical dry forests by combining dense Sentinel-1 time series with Landsat and ALOS-2 PALSAR-2
J Reiche, E Hamunyela, J Verbesselt, D Hoekman, M Herold
Remote Sensing of Environment 204, 147-161, 2018
Fusing Landsat and SAR time series to detect deforestation in the tropics
J Reiche, J Verbesselt, D Hoekman, M Herold
Remote Sensing of Environment 156, 276-293, 2015
Mapping wetland characteristics using temporally dense Sentinel-1 and Sentinel-2 data: A case study in the St. Lucia wetlands, South Africa
B Slagter, NE Tsendbazar, A Vollrath, J Reiche
International Journal of Applied Earth Observation and Geoinformation 86, 102009, 2020
Sentinel-1 sar backscatter analysis ready data preparation in google earth engine
A Mullissa, A Vollrath, C Odongo-Braun, B Slagter, J Balling, Y Gou, ...
Remote Sensing 13 (10), 1954, 2021
Combining satellite data for better tropical forest monitoring
J Reiche, R Lucas, AL Mitchell, J Verbesselt, DH Hoekman, ...
Nature Climate Change 6 (2), 120-122, 2016
The role and need for space-based forest biomass-related measurements in environmental management and policy
M Herold, S Carter, V Avitabile, AB Espejo, I Jonckheere, R Lucas, ...
Surveys in Geophysics 40, 757-778, 2019
Forest disturbance alerts for the Congo Basin using Sentinel-1
J Reiche, A Mullissa, B Slagter, Y Gou, NE Tsendbazar, C Odongo-Braun, ...
Environmental Research Letters 16 (2), 024005, 2021
Angular-based radiometric slope correction for Sentinel-1 on google earth engine
A Vollrath, A Mullissa, J Reiche
Remote Sensing 12 (11), 1867, 2020
Feature level fusion of multi-temporal ALOS PALSAR and Landsat data for mapping and monitoring of tropical deforestation and forest degradation
J Reiche, CM Souza, DH Hoekman, J Verbesselt, H Persaud, M Herold
IEEE Journal of Selected Topics in Applied Earth Observation and Remote …, 2013
A Bayesian approach to combine Landsat and ALOS PALSAR time series for near real-time deforestation detection
J Reiche, S De Bruin, D Hoekman, J Verbesselt, M Herold
Remote sensing 7 (5), 4973-4996, 2015
Characterizing tropical forest cover loss using dense Sentinel-1 data and active fire alerts
J Reiche, R Verhoeven, J Verbesselt, E Hamunyela, N Wielaard, ...
Remote Sensing 10 (5), 777, 2018
Multi-model radiometric slope correction of SAR images of complex terrain using a two-stage semi-empirical approach
DH Hoekman, J Reiche
Remote Sensing of Environment 156, 1-10, 2015
DeSpeckNet: Generalizing deep learning-based SAR image despeckling
AG Mullissa, D Marcos, D Tuia, M Herold, J Reiche
IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2020
Application of satellite remote sensing for mapping wind erosion risk and dust emission‐deposition in Inner Mongolia grassland, China
M Reiche, R Funk, Z Zhang, C Hoffmann, J Reiche, M Wehrhan, Y Li, ...
Grassland Science 58 (1), 8-19, 2012
The openeo api–harmonising the use of earth observation cloud services using virtual data cube functionalities
M Schramm, E Pebesma, M Milenković, L Foresta, J Dries, A Jacob, ...
Remote Sensing 13 (6), 1125, 2021
Using space-time features to improve detection of forest disturbances from Landsat time series
E Hamunyela, J Reiche, J Verbesselt, M Herold
Remote Sensing 9 (6), 515, 2017
Glasgow forest declaration needs new modes of data ownership
GJ Nabuurs, N Harris, D Sheil, M Palahi, G Chirici, M Boissière, C Fay, ...
Nature Climate Change 12 (5), 415-417, 2022
Despeckling polarimetric SAR data using a multistream complex-valued fully convolutional network
AG Mullissa, C Persello, J Reiche
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
Near-daily discharge estimation in high latitudes from Sentinel-1 and 2: A case study for the Icelandic Þjórsá river
J Brombacher, J Reiche, R Dijksma, AJ Teuling
Remote sensing of Environment 241, 111684, 2020
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Artikelen 1–20